# Kimi K2.5 vs Mistral Large 4

> Kimi K2.5 is the stronger model overall, scoring 48.1 to 43.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/kimi-k2-5-vs-mistral-large-4
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Kimi K2.5 scores higher in 8 categories and Mistral Large 4 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 36.6.
- The biggest single-benchmark swing is NYT Connections (extended): 69.9% for Kimi K2.5 and 27.4% for Mistral Large 4.
- Kimi K2.5 is cheaper at $0.45 / $2.25 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Kimi K2.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 48.1 | 43.1 |
| Rank | 57 | 99 |
| Context | 262K | 1.05M |
| Input $/M | $0.45 | $0.68 |
| Output $/M | $2.25 | $2.09 |
| Weights | Open | Proprietary |

## Coding

- Kimi K2.5: 48.8 (#53)
- Mistral Large 4: 48.6 (#57)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1437 | 1541 |
| LMArena Coding | 1474 | 1475 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| WeirdML | 45.6% | — |
| ALE-Bench | 821.65 | — |

## Agentic & Tool Use

- Kimi K2.5: 34.2 (#48)
- Mistral Large 4: —

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |

## Reasoning

- Kimi K2.5: 31.2 (#80)
- Mistral Large 4: 22.5 (#192)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 69.9% | 27.4% |
| LMArena Hard Prompts | 1453 | 1444 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| Epoch Capabilities Index | 148.03 | — |

## Math

- Kimi K2.5: 51.8 (#53)
- Mistral Large 4: 40.4 (#91)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1470 | 1488 |
| MathArena Final-Answer Competitions | 62.3% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Kimi K2.5: 53.6 (#56)
- Mistral Large 4: 36.6 (#166)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | 34.3% | 20% |
| LMArena Expert | 1466 | 1447 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 24.4% | — |
| Vectara Hallucination Rate | 14.2% | — |

## Multimodal

- Kimi K2.5: 41.1 (#39)
- Mistral Large 4: —

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |

## Multilingual

- Kimi K2.5: 53.9 (#53)
- Mistral Large 4: 52.6 (#82)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1433 | 1415 |
| LMArena Chinese | 1495 | 1491 |
| LMArena Russian | 1435 | 1414 |
| LMArena French | 1454 | — |
| LMArena German | 1441 | — |
| LMArena Japanese | 1421 | — |
| LMArena Korean | 1410 | — |
| LMArena Spanish | 1450 | — |

## Instruction Following

- Kimi K2.5: 75.3 (#64)
- Mistral Large 4: 75.0 (#76)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1431 | 1424 |

## Long Context

- Kimi K2.5: 52.1 (#7)
- Mistral Large 4: 43.6 (#89)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1445 | 1429 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |

## Writing & Preference

- Kimi K2.5: 65.1 (#53)
- Mistral Large 4: 60.4 (#97)

| Benchmark | Kimi K2.5 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1445 | 1427 |
| LMArena Creative Writing | 1423 | 1361 |
| LMArena Multi-Turn | 1444 | 1424 |
| EQ-Bench Creative Writing | 1579 | — |

## FAQ

### Is Kimi K2.5 better than Mistral Large 4?

Kimi K2.5 is the stronger model overall, scoring 48.1 to 43.1 on the Noometry Index.

### Which is cheaper, Kimi K2.5 or Mistral Large 4?

Kimi K2.5 is cheaper. It lists at $0.45 per million input tokens and $2.25 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

### Is Kimi K2.5 or Mistral Large 4 better for coding?

They score almost the same on coding (48.8 vs 48.6); test both on your own repository before choosing.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 262K.

### How many benchmarks do Kimi K2.5 and Mistral Large 4 share?

15 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Mistral Large 4 has 15.